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Data Analytics Manager Jobs in Michigan (NOW HIRING)

For analytical thinkers who love turning complex data into clear direction, it is a rare chance to ... SKU Management * Lead analytical oversight of SKU productivity, portfolio rationalization, and line ...

Manage distribution of critical budget files on a weekly/monthly basis and support ongoing budget ... Bachelor's degree in Business, Data Analytics, Information Systems, or a related technical ...

Own the roadmap for the enterprise Data & Analytics platform, ensuring alignment with business priorities, data strategy, architecture standards, and security requirements. * Define and manage ...

Prioritize and manage multiple deliverables based on business needs, timelines, and urgency ... Design and implement analytics solutions that support decision-making and performance tracking

Showing results 41-60

Data Analytics Manager information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do data analytics manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analytics manager in Michigan is $84,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $109,400.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Michigan?

The most popular types of Data Analytics jobs in Michigan are:

What are popular job titles related to Data Analytics Manager jobs in Michigan?

For Data Analytics Manager jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Data Analytics Manager jobs?

Cities in Michigan with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.

Product Owner Data & Analytics

GT Independence

Grand Rapids, MI • On-site

Full-time

Re-posted 23 days ago


GT Independence rating

6.4

Company rating: 6.4 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

88th of 242 rated social care providers


Job description

Product Owner
About the Role
The Product Owner is responsible for translating GTI's Data & Analytics roadmap into clear, actionable requirements within a defined product domain. This role owns day-to-day backlog health, clarifies outcomes and acceptance criteria, and helps ensure teams are delivering work that supports business priorities, customer needs, quality, and regulatory commitments.
The Product Owner partners closely with IT Development, Operations, Compliance, UX Research, Launch & Enablement, and other stakeholders to evaluate incoming requests, assess impact, support prioritization, and guide solutions from discovery through delivery.
Location
Hybrid (business and team presence as needed; flexibility based on candidate)
Responsibilities
  • Manage the backlog of reporting requests and balance requests against the Data & Analytics long-term roadmap.

  • Break down approved roadmap initiatives into epics, features, user stories, requirements, and acceptance criteria.

  • Conduct problem and solution discovery to refine requirements and scope, in partnership with Director of Product and UX Research.

  • Coordinate with UX Research, data/analytics, operations, support, and compliance to validate requirements and solution intent.

  • Own and maintain the product backlog for assigned domain, ensuring items are prioritized, refined, and ready for development.

  • Partner with the Director of Product and stakeholders to assess roadmap candidates, tradeoffs, business value, urgency, risk, and dependencies.

  • Triage and assess incoming requests, clarifying problem statements, scope, impact, and recommended next steps.

  • Facilitate backlog refinement, sprint planning support, acceptance review, and ongoing requirement clarification for IT Development teams.

  • Represent customer, operational, regulatory, and business needs in product decisions and backlog sequencing.

  • Monitor delivery progress, surface risks or blockers, and help align stakeholders on changes to scope, timing, or priority.

  • Support launch readiness by providing release context, target user impacts, acceptance criteria, and operational implications to Launch & Enablement.

  • Use product metrics, feedback, incidents, and adoption signals to recommend backlog adjustments and continuous improvement.

Requirements
  • 3+ years of experience as a Product Owner, Business Analyst, Product Manager, or similar role in technology-enabled operations.

  • Experience owning and delivering data or analytics products, including requirements definition, roadmap ownership, prioritization and execution in partnership with IT.

  • General understanding of data architecture, data platforms, analytics, governance, and regulatory considerations in collaboration with Data & Analytics team.

  • Proficiency with backlog management, agile delivery practices, and cross-functional product development.

  • Demonstrated ability to assess business value, operational impact, regulatory considerations, dependencies, and implementation tradeoffs.

  • Experience working with engineering, operations, compliance, support, and customer-facing stakeholders.

  • Strong facilitation, written communication, and stakeholder alignment skills.

  • Comfort working in complex, multi-state or regulated environments, preferred.

  • Familiarity healthcare insurance programs (e.g., Medicaid), business administration, and enterprise platforms (e.g., ERP, claims, payroll, tax, customer-facing systems) preferred

  • Experience with product/project tools such as Jira, Azure DevOps, Aha!, Productboard, or similar platforms.

  • Analytical mindset with the ability to use data, feedback, and outcomes to guide prioritization.

  • Customer empathy and systems thinking, with the ability to connect detailed requirements to broader product outcomes.

  • Certified Scrum Product Owner (CSPO) or Project Management Professional (PMP) certification or similar experience preferred

Reporting Structure
Reports to: Manager of Product Operations
Dotted-line alignment with: Director of Product
Direct oversight of: None; coordinates assigned product domain stakeholders and delivery priorities
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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